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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a a Senior Analyst to join our GTM Analytics team, where we turn data into the insights that shape decisions across Sales, Strategy, RevOps, Marketing, Deal Desk, and more. You’ll own analysis end-to-end for your domain — framing the right question, doing the analysis, and delivering a recommendation stakeholders can act on. When a dashboard is genuinely the right solution, you’ll define the logic and requirements for our central data team to build.

In this role, you’ll own end-to-end analysis for an assigned GTM domain — translating ambiguous business questions into a clear analytical plan, self-serving across SQL, dbt, and BI tools, and partnering directly with revenue stakeholders to deliver recommendations, not just reports.

This is a full-time position based out of our Costa Rica office.

Technologies You’ll Use

SQL, dbt, Looker, Omni, Sigma, Excel and/or Google Sheets, Salesforce, Claude (or similar AI assistants) — Hex or similar notebook tools are a plus for exploratory analysis

What You’ll Do

• Own end-to-end analysis for an assigned GTM domain (Sales, Strategy, RevOps, Marketing, Deal Desk, among others)
• Translate ambiguous business questions into a clear analytical plan
• Self-serve on pulling, transforming, and visualizing data using SQL, dbt, and Looker/Omni/Sigma
• Recommend data-driven insights and next steps, not just report on metrics
• Partner directly with revenue stakeholders to answer recurring and ad hoc data questions
• Investigate root causes behind metric shifts (e.g., why conversion rates moved quarter over quarter)
• Maintain and troubleshoot existing dashboards and reports within your domain
• Document analytical logic and definitions for team and stakeholder reference
• Mentor Level 2 analysts on query writing and analytical approach
• Use Claude and other AI tools to accelerate query development and analysis

Skills We’re Looking For

• Strong understanding of SaaS sales motions — not just terminology, but how opportunity stages, pipeline progression, and SFDC object structure actually drive the numbers stakeholders care about
• Comfortable with data — able to self-serve on getting, analyzing, and visualizing data
• Proficient in SQL, dbt, and Looker (or similar BI tools such as Sigma or Omni)
• Skilled at building and maintaining dashboards
• Analytical mindset — able to work through problem statements and recommend data-driven solutions
• Ability to work directly with revenue stakeholders and answer data-related questions
• Proficient with Claude or similar AI tools to support analysis

Bonus Skills​

• Experience with planning and forecasting for revenue target setting
• Understanding of marketing concepts such as funnel stages, MQLs/SQLs, and campaign attribution
• Basic financial literacy (e.g., ARR, bookings, revenue recognition) to collaborate effectively when a request touches Finance-owned data or definitions
• Experience working with Salesforce
• Comfortable digging into harder questions (e.g., why conversion rates were lower this quarter vs. prior quarter)
• Python experience
• 4+ years of experience working with GTM teams

#LI-MM1 #LI-Remote

Perks and Benefits

• 100% employer-paid medical insurance *
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

* May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran’s Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don’t hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a a Senior Analyst to join our GTM Analytics team, where we turn data into the insights that shape decisions across Sales, Strategy, RevOps, Marketing, Deal Desk, and more. You’ll own analysis end-to-end for your domain — framing the right question, doing the analysis, and delivering a recommendation stakeholders can act on. When a dashboard is genuinely the right solution, you’ll define the logic and requirements for our central data team to build.

In this role, you’ll own end-to-end analysis for an assigned GTM domain — translating ambiguous business questions into a clear analytical plan, self-serving across SQL, dbt, and BI tools, and partnering directly with revenue stakeholders to deliver recommendations, not just reports.

This is a full-time position based out of our Costa Rica office.

Technologies You’ll Use

SQL, dbt, Looker, Omni, Sigma, Excel and/or Google Sheets, Salesforce, Claude (or similar AI assistants) — Hex or similar notebook tools are a plus for exploratory analysis

What You’ll Do

• Own end-to-end analysis for an assigned GTM domain (Sales, Strategy, RevOps, Marketing, Deal Desk, among others)
• Translate ambiguous business questions into a clear analytical plan
• Self-serve on pulling, transforming, and visualizing data using SQL, dbt, and Looker/Omni/Sigma
• Recommend data-driven insights and next steps, not just report on metrics
• Partner directly with revenue stakeholders to answer recurring and ad hoc data questions
• Investigate root causes behind metric shifts (e.g., why conversion rates moved quarter over quarter)
• Maintain and troubleshoot existing dashboards and reports within your domain
• Document analytical logic and definitions for team and stakeholder reference
• Mentor Level 2 analysts on query writing and analytical approach
• Use Claude and other AI tools to accelerate query development and analysis

Skills We’re Looking For

• Strong understanding of SaaS sales motions — not just terminology, but how opportunity stages, pipeline progression, and SFDC object structure actually drive the numbers stakeholders care about
• Comfortable with data — able to self-serve on getting, analyzing, and visualizing data
• Proficient in SQL, dbt, and Looker (or similar BI tools such as Sigma or Omni)
• Skilled at building and maintaining dashboards
• Analytical mindset — able to work through problem statements and recommend data-driven solutions
• Ability to work directly with revenue stakeholders and answer data-related questions
• Proficient with Claude or similar AI tools to support analysis

Bonus Skills​

• Experience with planning and forecasting for revenue target setting
• Understanding of marketing concepts such as funnel stages, MQLs/SQLs, and campaign attribution
• Basic financial literacy (e.g., ARR, bookings, revenue recognition) to collaborate effectively when a request touches Finance-owned data or definitions
• Experience working with Salesforce
• Comfortable digging into harder questions (e.g., why conversion rates were lower this quarter vs. prior quarter)
• Python experience
• 4+ years of experience working with GTM teams

#LI-MM1 #LI-Remote

Perks and Benefits

• 100% employer-paid medical insurance *
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

* May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran’s Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don’t hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

At Roofr, we’re obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That’s what makes Roofr’s CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions—along with payments, material ordering, and more—into a seamless, powerful platform. With a clear roadmap ahead, we’re excited to continue expanding and leading the market with innovative products.

We have an amazing culture, strong financials, and best-in-class company metrics. It’s an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact.

This position is for an existing vacancy.

As a Staff Data Scientist at an early-stage, high-growth company, you’ll play a critical role in turning raw data into insights and apps that shape strategy, fuel growth, and improve the customer experience. You’ll have a direct hand in the decisions that move the business, not just the reports that describe it.

This isn’t a “run the numbers and hand off a deck” role. You’ll be partnering directly with senior leaders and an experienced data & analytics team to drive data science and experimentation initiatives across sales, marketing, and product areas — putting both traditional analysis and ML to effect change.

What You’ll Get to Do:

• Architect optimization analyses and forecasts that help leaders pinpoint opportunities across Growth, Strategy, Revenue, Marketing, and Product teams.
• Partner directly with executive leadership, translating complex analysis into clear, actionable decisions and process changes.
• Design counterfactual analyses and A/B tests to enable data-driven evolution of our UX, product features and customer experience.
• Build data apps that automate and supercharge our sales and marketing processes.
• Own your projects end-to-end — from framing the business question to shipping the model to presenting the recommendation, with the autonomy to decide how you get there.
• Work on top the same semantic layer and DBT models powering our AI-driven analytics stack (Snowflake Cortex, Sigma, Claude, etc.), so your analyses build on a single-source-of-truth data.
• Create data science frameworks — templates and guides that data practitioners across the org can leverage and build upon.

What You’ll Bring to the Role:

• 7+ years of experience in data science in a fast-moving business setting, with a track record of running the show on ambiguous, high-stakes problems.
• Hands-on experience with a modern cloud data stack — Snowflake, DBT, and various BI tools (Sigma, Looker, Metabase, Omni, or similar).
• Strong SQL and statistical modeling skills, with a track record of building forecasting and causal inference models.
• A love of documentation and Git — you enable others to build on top of your work..
• You appreciate scalable data models — you contribute to the shared semantic layer, and let the whole org benefit.
• You’re just as excited to hack together a scrappy new analysis or app as you are to build scalable products that meet stringent quality standards.

Who You Are:

• Self-driven and organized, with the ability to manage projects across cross-functional stakeholder groups with minimal oversight, keeping everyone updated on progress and next steps.
• You don’t wait for direction — you spot the opportunity, make the case, and drive it through.
• An amazing communicator and presenter, equally comfortable in a room with executive leadership or heads-down in the data.
• A true team player — you love brainstorming, peer reviews, and pressure-testing ideas.
• You’re in it for the journey, not just the destination.

Compensation Band: $140,000.00 - $160,000.00 CAD

Our compensation ranges are built using multiple market benchmarks and reflect both the scope of the role and current market data. While many hires fall within the beginning to midpoint of the band to allow for growth over time, we tailor offers based on each candidate’s experience, seniority, and demonstrated impact.

🏠 What we offer (US + Canada)

When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:

🏝️ Vacation/Paid Time Off:

• 1st week of employment is mandatory PTO! Start your journey with Roofr by decompressing and recharging - we will see you in week 2!
• 1 Friday off per month (we call those our laundry days!)
• Company wide paid shutdown for the week between Christmas and New Years
• Flexible time off
• 80% employer-paid benefits in the U.S. and 100% employer-paid premiums for Extended Healthcare and Dental in Canada
• RRSP/401k match
• Generous Parental Leave policy

🤝 Perks:

• We host an annual company retreat with great team building activities
• Ample learning and development opportunities to continue growing your career
• Home office setup stipend
• Internet and phone allowance
• Remote first culture
• Weekly Friday paydays!

🤖 AI Notice

At Roofr, we’re big fans of AI. It helps us write job descriptions that don’t put you to sleep, takes notes during interviews so we can actually listen, and even helps us track down awesome humans like you.

Feel free to use AI to prep, research, or get pumped up for your interview (we see you, ChatGPT power users 👀). But when it’s time to chat, we’d love to meet you, not your AI alter ego. Bring your real, unfiltered self, we promise we will too.

And don’t worry, a real, live human is behind every part of our process. Every application is reviewed by a real person, and you’ll always speak with real humans throughout the interview process. No bots, just good people ☺️

⚠️ Important Notice

We’ve been made aware of an individual impersonating Roofr using a fraudulent domain: roofrr.com (note the extra “r”). Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses, instant messaging platforms, or unsolicited calls.

To ensure your application is legitimate, please apply directly through our official careers page: https://roofr.com/careers.

If you receive any suspicious messages or have questions, reach out to us at talent@roofr.com.

Your safety and security are important to us — thank you for your vigilance!

Roofr is proud to be an equal opportunity employer. We are committed to equal employment opportunity in the workplace regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning...

Headquarters: Remote

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build innovative products for Airbnb guests and hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, measurement frameworks, foundational data products, and intelligence to improve and shape Airbnb marketplace and product. 

The Difference You Will Make:

Under this general application, you will be considered for applications over several tracks.

• Pricing Data Science - Responsible for developing a pricing guidance system for hosts, as well as methods (experimental and observational) to measure the impact of pricing feature launches.
• Guest and Host Product Data Science - Responsible for building optimized products, tools, and programs that empower our hosts to thrive on our platform and our guests to easily discover and book stays that match their needs. 
• Marketplace Data Science - Responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. 

As a data scientist on the team, you will directly impact the Airbnb user community and marketplace with the data products and insights you deliver. Your work may range from building models to understand the impact of supply and demand on marketplace outcomes, to applying causal inference methods to measure the impact of a new pricing guidance tool, to generating destination recommendations based on our understanding of guest travel preferences. 

A Typical Day: 

• Building strong relationships with cross-functional partners across Product, Design, Engineering, and Analytics to drive collaboration and innovation.
• Contribute directly to the development and launch of data-driven products and models, leveraging AI tools to enhance efficiency and impact.
• Writing software in Python, SQL, or R to model, simulate, and measure the impact of new features, applying advanced causal inference techniques where necessary.
• Analyzing structured or unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
• Communicating learnings to leaders and stakeholders in a clear, compelling manner that drives informed data-driven decision making.

Your Expertise:

• 5+ years of experience with BS/masters degree, 2+ years of experience with PhD.
• Experience with experimentation, causal observational analysis, and machine learning techniques.
• Experience partnering with product, engineering, and design to enable data-driven model or product development.
• Ability to prototype, build, and scale derived data assets.
• Strong coding skills in SQL and either Python or R.
• Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience.
• Work authorization (if applicable)
• Travel requirements (if applicable)

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. 

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. 

 

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  

Pay Range$179,000—$210,000 USD

To apply: https://weworkremotely.com/remote-jobs/airbnb-senior-data-scientist-guest-host

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning...

About Us

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.

This role will support DEFCON AI.

About the Triad Modernization Advisor Role

DEFCON AI is modeling how risk cascades across the nuclear Triad. When a schedule slips, a cost estimate breaches, or capacity comes up short in one program, the consequences rarely stay in that program. We make those second and third order effects visible early enough for a decision maker to do something.

We are looking for a Triad Modernization Advisor to bring firsthand nuclear enterprise experience to that effort. You will be the person on the team who can look at a model result and say whether it reflects how the enterprise actually behaves, and who can get the underlying data into shape when it arrives messy.

This is a 1099 consulting engagement of up to 20 hours per week. The role is primarily on-site in the Offutt AFB area, with some work performed remotely.

What you will do:

Triad Expertise:

• Apply firsthand expertise in nuclear triad modernization to sharpen and validate our optimization models and decision support tools
• Pressure-test model assumptions and outputs against how the enterprise plans, programs, and executes in reality
• Work alongside an interdisciplinary team of optimization and simulation experts to design, build, and refine models that deliver real-world decision support
• Partner directly with customers, product leadership, and external stakeholders

Data:

• Organize, clean, and translate acquisition planning and budget datasets tied to legacy system sustainment and modernization programs
• Interpret and visualize data on program cost, schedule, and performance
• Reconcile data that arrives from multiple sources in different formats and may not agree with itself

What we are looking for

• Firsthand experience in nuclear triad modernization. You have held program, requirements, resourcing, or operational planning responsibility inside one or more of these efforts.
• Working command of the nuclear enterprise. Planning processes, acquisition programs, and the funding mechanisms behind them, including planning, programming, budgeting, and execution (PPBE) and program objective memorandum (POM) rhythms, milestone decisions, and appropriation categories.
• Executive-level results. You have been accountable for analysis that informed resourcing or program decisions, and you have briefed and defended it at the O6, flag, or SES level.
• Systems thinking. You can trace an effect across program, budget, and operational boundaries.
• Communication in both directions. You can be useful to a modeler debugging an assumption in the morning and to a senior operational customer in the afternoon.
• Clearance. Active Secret or above.
• Location. Offutt Air Force Base commuting area.

Bonus points

• Experience at or above the O4/GS-13 level in a Combatant Command J5, J8, or similar organization
• Background in consulting, systems engineering, operational planning, or mission-focused solution development
• Experience within operational commands, service headquarters, Joint Staff, OSW, or defense innovation organizations
• Modeling, simulation, or operations research experience

Our Red Cell Partners Benefits (may differ for each incubation):

For full-time roles

• Career track opportunity with potential for rapid advancement with strong performance as the firm grows

• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.

• Paid maternity and paternity for 14 weeks at employees’ normal pay.

• Unlimited PTO, with management approval.

• Opportunities for professional development and continued learning.

• Optional 401K, FSA, and equity incentives available.

• Mental health benefits are available through Tara Mind.

• Cost effective GLP-1 solutions available through Crux.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

Applicant Data Disclosure

By submitting an application, you acknowledge that Red Cell Partners, LLC (“Red Cell”) uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, “Hiring Platforms”). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:

• Managing and administering your application throughout the hiring process;

• Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;

• Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.

Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent @redcellpartners.com .

Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell’s data retention policies.

For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

You’ll play a key role in helping clients embed governance and stewardship into their daily work. This is a hands-on role focused on executing governance activities, supporting metadata cataloging, and applying practical data quality controls. Just as important, this person will act as a communicator and facilitator—helping form working groups, align business and technical teams, and coach client staff on how to take ownership as data stewards.

Core Responsibilities

• Support the design of tailored data governance programs, with recommendations on processes, team structure, decision rights and boundaries.
• Design policies and controls for effective data governance execution.
• Bring a modern perspective on the design and rollout of data governance.
• Communicate governance concepts in clear business language; prepare presentations, training materials, and adoption guides.
• Facilitate data governance working groups to drive alignment between business and technology stakeholders.
• Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows.
• Partner with business teams to draft and maintain business rules, definitions, and data quality controls.
• Apply data quality processes such as profiling, monitoring, and issue management, ensuring rules are practical and adopted.
• Support the installation, configuration, rollout and adoption of governance/metadata tools (e.g., Collibra, Alation, Atlan, Purview).
• Coach client staff on data stewardship practices—showing them how to govern their data effectively and sustainably.
• Provide input on access controls, privacy, and compliance with regulations (GDPR, CCPA, etc.)
• Collaborate with data engineers, analysts, and business owners to embed governance into daily workflows, platform pipelines, modeling practices, and observability.
• Metadata Tools & Platform Enablement
  • Install and configure metadata/catalog tools in client environments.
  • Build and curate catalogs, including ingestion of technical metadata, business glossaries, and lineage.
  • Define user personas and design role-appropriate experiences (data stewards, data owners, analysts, engineers).
  • Tailor tool UX (workflows, dashboards, search optimization) to improve usability and adoption.

Required Qualifications

• 5+ years of experience in data governance, metadata management, and MDM roles.
• Hands-on experience with MDM tools (Semarchy, Profisee, Informatica, or equivalent).
• Exposure to data quality tools and processes (Talend, Ataccama, or equivalent).
• Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.
• Demonstrated ability to define and obtain alignment for definition, business rules and data quality controls.
• Familiarity with governance operating models and stewardship practices.
• Knowledge of privacy regulations (GDPR, CCPA) and how governance practices support compliance
• Bachelor’s degree in Information Systems, or related field (or equivalent work experience)
• Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

Preferred Skills

• Experience leading or supporting data governance working groups or stewardship councils.
• Knowledge of data access provisioning, integration patterns, or lineage capture.
• Experience building adoption materials, training guides, or playbooks for governance programs.
• Prior client-facing consulting experience.

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the role

We are looking for a Staff Data Scientist, Data Products to serve as a senior analytical and product partner across Syndio’s product and data-product portfolio. You will own measurement strategies for our product platform, translate usage and business data into product decisions, and help turn those signals — together with pay-equity, policy, job architecture, market, and workforce data — into customer-facing analytical products.

This is a high-autonomy, high-visibility staff role. You will lead ambiguous, cross-functional work from opportunity discovery through methodology, validation, production, and launch; partner with Product, Data Science, Engineering, Privacy, Legal, Sales, and Customer Success; and set standards for analytical rigor, interpretability, data quality, and responsible data use. The role is an individual contributor position with broad influence.

Why this job is exciting

Product Measurement & Decision Support

• Own measurement strategies for Syndi’s core user workflows — including offer endorsement, approval, and acceptance — defining events, metrics, and success criteria that guide product decisions.
• Partner with engineering to design and validate event instrumentation for new features, ensuring tracking is accurate, consistent, and privacy-safe from the start.
• Conduct deep-dive analyses into feature adoption, workflow completion, user engagement, customer outcomes, and operational patterns to surface actionable insights.
• Build and maintain production-grade dashboards and self-serve reporting in Mixpanel, BigQuery, and BI tooling that give product teams and senior leaders visibility into product health.
• Translate complex, ambiguous usage data into clear, prioritized recommendations for technical, product, and executive audiences.

Data Product Development

• Define and lead analytical strategies for new compensation and workforce data products that make Syndio more valuable, differentiated, and difficult to replicate.
• Identify high-value opportunities to combine Syndio’s aggregated and anonymized first-party data with compensation market data, job-posting and skills data, and other third-party sources.
• Develop diagnostics that measure compensation governance and execution health, including policy-versus-practice gaps, job-architecture health, governance adoption, strategic alignment, and overpayment risk.
• Lead complex initiatives from early exploration and hypothesis formation through analytical validation, productionization, commercialization, and launch.
• Evaluate whether proposed data products are analytically defensible, interpretable, commercially valuable, privacy-preserving, and responsible to use.
• Contribute to the give-to-get data strategy by identifying which product and customer signals can strengthen Syndio’s broader data assets over time.

Cross-functional Leadership & Standards

• Serve as a senior analytical partner in product discovery, sprint planning, roadmap discussions, business reviews, and product planning cycles.
• Partner with Data Science on experiment design, causal analysis, model evaluation, and measurement of model-assisted workflows.
• Work with Customer Success and Sales to connect product usage and data-product insights to customer value, health, and renewal risk.
• Establish and champion standards for event data, analytical quality, documentation, interpretability, privacy, and responsible data use.
• Provide technical and analytical leadership to other practitioners, raise data literacy across the product organization, and build self-serve capability.

About you

• 8+ years of experience in product analytics, data science, analytics engineering, or a closely related role, including substantial experience supporting software products and/or developing analytical products.
• Proficiency with AI-assisted development tools and workflows, using them to accelerate analysis, prototyping, code generation, documentation, and data-product development while validating outputs and exercising sound judgment.
• Familiarity with emerging AI and BI innovation — including natural-language interfaces, automated insights, semantic layers, and agentic workflows — and the ability to evaluate where these capabilities can improve analytical products and customer experiences.
• A track record of setting direction and leading complex, cross-functional initiatives with significant product or business impact.
• Deep proficiency in SQL and strong working proficiency with Python, R, or a comparable analytical language.
• Advanced knowledge of statistical measurement, benchmarking, experimentation, data modeling, segmentation, data quality assessment, and analytical validation.
• Experience designing event schemas, product measurement strategies, funnels, dashboards, and self-serve reporting using tools such as Mixpanel, Amplitude, Looker, Tableau, or equivalent.
• Experience combining large, imperfect datasets into analytically defensible, interpretable, and commercially valuable products or insights.
• Exceptional judgment and comfort operating in ambiguous, evolving problem spaces; able to determine when approximation is appropriate and when precision is required.
• Ability to influence senior stakeholders, communicate complex methodologies clearly, and drive alignment across technical and non-technical audiences.

Extra Credit

• Experience instrumenting or evaluating a GenAI-native product, including model-assisted workflows.
• Deep familiarity with compensation, pay equity, workforce planning, labor-market data, job architecture, skills taxonomies, or people analytics.
• Experience with compensation surveys, job-posting data, privacy-preserving analytics, or third-party data licensing and governance.
• Familiarity with GDPR/CCPA and related privacy considerations for user-level event data and aggregated or anonymized customer data.

Why you’ll love it here:

• 💰 Competitive Compensation. For this role our salary is targeted at $180,000 -$205,000 per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave.
• Paid parental leave
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• Fully remote model - #LI-Remote

The interview overview

Below you’ll find an outline of the interview plan for our Staff Data Science position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• 30 min interview with a member of our Talent Team
• 45 minute zoom interview with the Hiring Manager
• Three video interviews with several team members
• Final interviews with executive

At Syndio, we’re building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we’d love to talk with you even if you don’t 100% meet the “about you” listed here. We don’t expect anyone to have all the answers, as long as you’re willing to learn and grow with us.

Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

You’ll play a key role in helping clients embed governance and stewardship into their daily work. This is a hands-on role focused on executing governance activities, supporting metadata cataloging, and applying practical data quality controls. Just as important, this person will act as a communicator and facilitator—helping form working groups, align business and technical teams, and coach client staff on how to take ownership as data stewards.

Core Responsibilities

• Support the design of tailored data governance programs, with recommendations on processes, team structure, decision rights and boundaries.
• Design policies and controls for effective data governance execution.
• Bring a modern perspective on the design and rollout of data governance.
• Communicate governance concepts in clear business language; prepare presentations, training materials, and adoption guides.
• Facilitate data governance working groups to drive alignment between business and technology stakeholders.
• Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows.
• Partner with business teams to draft and maintain business rules, definitions, and data quality controls.
• Apply data quality processes such as profiling, monitoring, and issue management, ensuring rules are practical and adopted.
• Support the installation, configuration, rollout and adoption of governance/metadata tools (e.g., Collibra, Alation, Atlan, Purview).
• Coach client staff on data stewardship practices—showing them how to govern their data effectively and sustainably.
• Provide input on access controls, privacy, and compliance with regulations (GDPR, CCPA, etc.)
• Collaborate with data engineers, analysts, and business owners to embed governance into daily workflows, platform pipelines, modeling practices, and observability.
• Metadata Tools & Platform Enablement
  • Install and configure metadata/catalog tools in client environments.
  • Build and curate catalogs, including ingestion of technical metadata, business glossaries, and lineage.
  • Define user personas and design role-appropriate experiences (data stewards, data owners, analysts, engineers).
  • Tailor tool UX (workflows, dashboards, search optimization) to improve usability and adoption.

Required Qualifications

• 5+ years of experience in data governance, metadata management, and MDM roles.
• Hands-on experience with MDM tools (Semarchy, Profisee, Informatica, or equivalent).
• Exposure to data quality tools and processes (Talend, Ataccama, or equivalent).
• Strong communication skills: able to facilitate workshops, write clear business documentation, and present to mixed audiences.
• Demonstrated ability to define and obtain alignment for definition, business rules and data quality controls.
• Familiarity with governance operating models and stewardship practices.
• Knowledge of privacy regulations (GDPR, CCPA) and how governance practices support compliance
• Bachelor’s degree in Information Systems, or related field (or equivalent work experience)
• Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

Preferred Skills

• Experience leading or supporting data governance working groups or stewardship councils.
• Knowledge of data access provisioning, integration patterns, or lineage capture.
• Experience building adoption materials, training guides, or playbooks for governance programs.
• Prior client-facing consulting experience.

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Company Description

Are you ready to join the forefront of technology innovation with Netcompany?

As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting.

Operating across both public and private sectors, we offer a comprehensive range of services from application development and seamless cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs.

Job Description

You will collaborate with the rest of the delivery team including Product Owners, Service Designers, Business Users and Architects to understand client and user needs and requirements and participate in designing appropriate solutions.

You will be an important part of refining scope and requirements, aligning priorities and backlogs and produce various artefacts including Process Flows, Customer journey maps, User Stories and defining Functional/non-functional / operational needs.

Taking a User Centric approach, you will work with other research and design team members to test the options and solutions with wider user groups and participate in Show& Tells for the stakeholders.

You will assist the team in preparing for assurance and quality gates, always focusing on delivering the right quality on time and on budget

Qualifications

• Demonstrable experience in working in Agile Delivery teams adopting agile tools
• Demonstrable experience of working as a BA, investigating, assimilating, and analyzing different needs, constraints, and problems. Able to document the outcomes in simple, easy to understand language.
• Experience working within Public Sector or Central Government, as well as Knowledge of GDS (Government Digital Service)
• Demonstrable experience in showcasing analytical skills including stakeholder management, building relationships, and collaborating as a team.
• Demonstrable experience of working with Product Owners in grooming product backlog and producing meaningful Epics/Stories that can be consumed by the technical teams.
• Experience in process modelling and customer journey mapping and assisting user testing. • Experience of working with various tools and technologies needed by a BA eg Confluence, Jira, Visio Mural, Miro etc
• Understanding of Service Maps and targeting operating models to align your outputs and outcomes with them
• Candidates must have the right to work in the UK

Additional Information

Benefits:

• Hybrid working model with some flexible working
• 25 days’ holiday
• Private Medical Health care via Vitality
• Pension contribution, Life Assurance
• Professional certifications supported as part of learning and development.
• A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services.
• Access to our Employee Resource Groups, our groups represent diverse backgrounds and provide a platform for colleagues to connect, learn, and support one another.

Join Netcompany, where we proudly hold the 5th position on the esteemed UK Top 50 Best Places to Work in the Glassdoor Employees’ Choice Awards for 2024.

At Netcompany, we pride ourselves on our entrepreneurial spirit and our capacity for doing things differently. Our culture is built on fostering low bureaucracy, emphasizing high agility and promoting flexibility, enabling everyone to contribute their best.

Our journey began in the UK with the acquisition of Hunter Macdonald in 2017. As one of Northern Europe’s most accomplished IT companies, we have expanded our headcount globally to 7400+ employees and have offices in UK, Denmark, Norway, Poland, Holland and Vietnam.

Netcompany is committed to providing an inclusive and barrier-free recruitment process for anyone wishing to apply for a job with us.  We operate a Disability Confident Interview Scheme which means that we offer guaranteed interviews to all applicants with a disability who meet the minimum criteria for a role. Applicants are asked to opt in, so please let us know if you wish your application to be considered under this scheme.

If you need any reasonable adjustments or extra support during the recruitment process, please contact us at [email protected].

#LI-RS1

Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with...

Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with...

About Us:

Spreedly is the world’s leading Open Payments Platform. Founded in 2007 and headquartered in Durham, NC, the company gives mid-market and enterprise businesses the infrastructure to connect to any payment gateway, processor, or fraud tool through a single API. The platform is vendor-agnostic by design, meaning customers are never locked into a single provider and never need to rebuild their payments stack to access new capabilities.

The core business problem Spreedly solves is real and costly: global merchants face a fragmented payments ecosystem, where every new market, payment method, or fraud tool typically requires a separate, time-consuming integration. Spreedly eliminates that complexity, enabling companies to route transactions intelligently, secure cardholder data, prevent fraud, and expand into new markets without heavy engineering overhead.

About the Role:

Spreedly is building a new go-to-market operations function, and we’re hiring a Lead Revenue Operations Analyst to help run it. Revenue Operations is joining Business Operations, and rather than migrate the function as-is, we’re pivoting it into a broader GTM Operations pillar — one built to run a predictable, efficient go-to-market operating engine.

This is a senior individual contributor role with no people management responsibilities, reporting to the Sr. Director of Business Operations and serving as a trusted thought partner to our SVP of Revenue. You will own sales forecasting, pipeline and performance analytics, GTM planning, and sales compensation strategy, combining quantitative analysis and qualitative analysis with broader business context to inform decisions. You will work closely with the GTM Operations Analyst, who will contribute operational context, supporting analysis, and execution, while this role maintains overall accountability for the forecast, quota methodology, and recommendations to Revenue leadership.

You will go beyond reporting what happened. You will independently identify what is changing in the business, understand why, and translate complex data into clear insights and recommendations that help Revenue leadership act early — for example, spotting churn risk in the funnel before it becomes lost revenue. This role is designed for someone who wants significant impact through expertise, judgment, analytical rigor, and execution rather than through managing a team. You will operate with significant autonomy, partnering directly with executive and sales leadership to turn analysis into action.

Responsibilities:

• Own the sales forecasting process end-to-end — methodology, pipeline inspection, risk identification, and forecast accuracy — and run the cadence that gives leadership clear, actionable views of existing and new-customer opportunities
• Serve as a trusted thought partner to the SVP Revenue, proactively surfacing trends, risks, opportunities, and recommended actions
• Analyze pipeline health, coverage, conversion, velocity, win/loss trends, and sales productivity to identify actionable insights and assess sales-funnel health and risk
• Build quantitative models and complex-dataset analyses that support revenue decisions, planning, and scenario evaluation
• Own the reporting and operating cadence that Revenue leadership uses to review performance, inspect the pipeline, and drive accountability
• Own revenue operations planning and partner with Revenue and Finance leadership on GTM planning, including quotas, capacity, headcount, targets, and scenario planning
• Own sales compensation strategy, design, and governance, including quota and incentive modeling, performance analysis, and oversight of commission accuracy, while partnering with the GTM Operations Analyst on day-to-day plan administration and commission processing.
• Partner with sales, marketing, and executive leaders on go-to-market decisions, including revenue-operations considerations for tools and processes such as CPQ and deal desk
• Develop pipeline reporting that strengthens the prospect funnel in partnership with marketing, supports reps as they work opportunities through to close, and improves visibility from bookings through revenue conversion
• Independently drive complex revenue operations work from problem definition through analysis, recommendation, and execution
• Communicate complex findings clearly and concisely to executive and cross-functional audiences

Requirements:

• 6+ years of experience in Revenue Operations, Sales Operations, GTM Strategy & Operations, or a related role, within a complex B2B SaaS environment
• Deep experience in owning sales forecasting and improving forecast quality, rigor, and visibility
• Exceptional quantitative and analytical skills, including building models and analyzing complex datasets in Google Sheets, and translating that analysis into business recommendations
• Proven ability to partner with senior Revenue leaders, bring an independent point of view, and influence decisions through data and insight
• Strong understanding of pipeline management, coverage, conversion, velocity, sales productivity, and SaaS GTM metrics
• Experience with sales compensation, including plan administration, commission processes, quota setting, and compensation analysis
• Deep experience with Salesforce
• Experience with GTM planning, including capacity, headcount, quota, target, or scenario planning
• Strong financial and business acumen, with the ability to partner effectively with Finance and FP&A
• The communication and presentation skills to be a trusted thought partner to senior leaders and convert strategy into clear action
• Comfortable operating as a senior individual contributor with significant autonomy and ownership, in a newly formed function without an established playbook
• Ability to travel approximately 10% of the time

Additional Skills We Value:

• Ironclad or other contract lifecycle management solutions
• Vasco or similar revenue operations platforms
• Tableau experience
• HubSpot experience
• Fintech domain expertise

We Offer Our US-Based Employees:

• Competitive salary + Equity
• Outstanding Medical and Dental benefits, including 100% employer-paid option
• Company-paid Life and Disability insurance
• Optional vision and supplemental insurance options, and various Flexible Spending Accounts (FSA)
• Open Paid Time Off policy + 12 weeks of paid leave for new parents
• Matching 401(k) plan (5% up to $5,000 yearly)
• $1,000 annual professional development stipend
• Monthly home working/digital lifestyle stipend, new MacBook, and one-time accessory reimbursement
• Access to company-paid professional coaching service
• Visits to HQ in Durham, North Carolina for remote employees

#LI-AE1

Spreedly Product Offering:

Spreedly provides an open payments platform. The platform’s connectivity provides payments performance. Key products and services include:

Connect— A unified API that integrates with hundreds of payment gateways, processors, and alternative payment methods worldwide, including digital wallets. Merchants access the global payments ecosystem through one connection.

Vault — A PCI-compliant secure repository for payment methods. Merchants store card data once and reuse it across any payment service, reducing PCI scope and protecting cardholder data at scale.

Optimize— Workflow-driven routing and retry logic that directs each transaction to the best-performing gateway in real time. On average, 7.9% of failed transactions succeed immediately when retried on a secondary gateway. This is where merchants recover lost revenue and increase authorization success rates.

Protect— A flexible fraud and authentication layer, incorporating advanced fraud tools and 3DS. Following Spreedly’s acquisition of Dodgeball in September 2025, fraud orchestration and payment optimization now operate within the same platform.

Resolve— Centralized management and reporting that reduces operational silos, strengthens security, and improves billing control across a merchant’s entire payment operation.

More Coming Soon! - Keep your eyes peeled for a new product launch by EOY ‘26

–

What It’s Like to Work Here:

We describe our team as “Spreedlings”: diverse, forward-thinking, and driven by a shared belief that a more open payments ecosystem benefits everyone. The company operates with a culture built on transparency, courageous collaboration, and self-driven leadership. The team values simplicity in both product and process, and approaches problem-solving with genuine curiosity.

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We champion the ethical, creative use of AI—if you’re someone who pairs human judgment with modern AI tools to work smarter and drive bigger impact, you’ll thrive here.

–

Spreedly is an equal opportunity employer. We are committed to fostering, cultivating, and preserving a culture of diversity, equity, inclusion, and belonging. We actively work to drive out even unintentional discrimination in our hiring processes via practices like blindly graded work samples, structured interviews, and diversity awareness training.

Due to the sensitive nature of what Spreedly does - handling payment data - finalist candidates must complete a successful background and reference check.

At this time Spreedly is unable to provide sponsorship for employment, and we are not set up to support remote employees who reside in New York. In order to be considered for employment, applicants must be currently legally authorized to work in the job location country and not require future sponsorship in order to continue working in that country.

We appreciate your interest in our company. Because of the high volume of resume flow, we may only respond to those candidates that we think will be a potential fit.

–

#LI-AE1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Swoon is an original, design-led brand using an innovative NPD process to discover the next home trends. We run a lean team on a modern data stack - Snowflake, Airflow, Kleene, DBT and Sigma.

We’re looking for an analytics engineer to own that stack end-to-end: how pipelines get built and maintained, how AI is used within them, how analysis reaches the exec team, and how the wider business self-serves answers.

What we’re looking for:

This is a single-owner technical role. You will own the warehouse, the transformation layer, the orchestration and the analytics surface the business consumes, and you will shape how they evolve. No data team above you to escalate design decisions to. You will partner closely with the commercial, marketing, and operations leads to turn their questions into insight that is actually executable.

That autonomy is the point. You need to be highly self-motivated, comfortable making architecture calls on your own judgement, and willing to fix problems rather than route them.

Key Responsibilities

1. Own the data stack

• Warehouse & modelling: Own the ELT process end-to-end - modelling, testing, documentation, cost and performance management.
• Orchestration: Own orchestration and ensure pipelines are reliable, timely, and accurate.
• Source integration: Maintain and extend extraction and loading from any new source.
• Data quality: Build the tests and checks that mean decisions aren’t made on broken numbers.

2. Own the analytics stack

• BI layer strategy: Own the decision on how Swoon delivers analytics. Assess whether our current BI layer is the right long-term solution. You will be expected to recommend Swoon’s BI future with evidence and own the consequences.
• Self-service: Further improve our self-serve analytics for our non-technical colleagues across commercial, operations and marketing to get answers without routing every question through you.

3. Drive AI adoption

• AI in the data workflow: Use AI tooling to compress the cost of analysis, transformation development, documentation and QA. Review the current standard and where it can’t be trusted.

• AI enablement across the business: Work with function leads to identify where AI removes manual work - ops reconciliation, customer service triage, content generation, supplier admin - and build or specify the tooling. You are the technical enabler.

• Track record: Demonstrable experience building and running a production analytics stack. Strong SQL and Python skills, plus Snowflake and orchestration (Airflow or equivalent).

• AI fluency: Hands-on experience using AI tools in a real workflow.

• Self-direction: You set your own roadmap, prioritise against commercial impact, and deliver without supervision.

• Communication: You can explain a technical constraint to a non-technical stakeholder and push back on a bad request without damaging the relationship.

Compensation

• Competitive salary
• Share options programme
• Profit share scheme
• Wellbeing allowance
• Generous pension scheme
• Private medical cover for you and your family

Holidays, working environment and other perks

• 27 days holiday rising to 30 with tenure
• Four months of summer hours finishing at 1 PM on a Friday
• Free furniture on each anniversary of employment
• Friends & family discount of 20%
• Fully remote working
• Frequent meet-ups, in-person workshops and socials

Senior Data Analyst

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking a Senior Data Analyst to lead the design, development, modernization, and optimization of enterprise analytics and business intelligence solutions using Power BI and the Microsoft Fabric semantic layer.

The Senior Data Analyst will assess existing dashboards and reporting products, identify opportunities for consolidation and modernization, and develop scalable semantic models and analytics products that support executive, operational, and compliance use cases. This role will work closely with business stakeholders, data engineers, governance teams, and technical leadership to translate mission and business needs into effective analytics solutions.

The Senior Data Analyst will also support analytics strategy, product portfolio management, self-service analytics enablement, and advanced analytical capabilities including predictive modeling and forecasting.

Responsibilities

• Lead the design and development of enterprise analytics and business intelligence solutions using Power BI and Microsoft Fabric
• Design and maintain enterprise semantic models that provide governed, reusable data structures for analytics and reporting
• Develop certified Power BI datasets and reusable analytical components
• Build and optimize executive, operational, compliance, and mission-focused dashboards
• Ensure dashboards and analytics products meet established performance, usability, accessibility, and data quality standards
• Assess the existing dashboard and reporting portfolio, including:
  • Usage and adoption analysis
  • Redundancy identification
  • Technical debt evaluation
  • Performance assessment
  • Opportunities for consolidation or retirement
• Develop and execute dashboard consolidation, modernization, and migration plans
• Rationalize legacy reports and dashboards into standardized enterprise analytics products
• Develop complex DAX measures, calculations, and business logic
• Use Power Query and related transformation capabilities to prepare and shape data for analytical use
• Implement row-level security and object-level security aligned with enterprise data governance and access-control requirements
• Collaborate with governance and security teams to ensure analytics products appropriately enforce data access policies
• Assess and recommend self-service analytics capabilities, operating models, and governance approaches
• Evaluate Power BI licensing, capacity, and deployment strategies based on user needs and enterprise requirements
• Enable governed self-service analytics for business users while maintaining appropriate security and data quality controls
• Evaluate and support Copilot-assisted and AI-enabled analytics capabilities where appropriate
• Develop predictive models, forecasting tools, analytical frameworks, and decision-support capabilities
• Create advanced analytical methods that can be operationalized and maintained by analysts and business teams
• Support analytics strategy, roadmap development, and product portfolio management
• Identify opportunities to consolidate, standardize, improve, or retire analytics products
• Conduct requirements gathering sessions with business, operational, and technical stakeholders
• Analyze business processes and reporting needs to identify appropriate analytical solutions
• Translate business requirements into functional specifications, analytical requirements, user stories, and acceptance criteria
• Coordinate across analytics, data engineering, governance, application, and source-system workstreams
• Perform data analysis, validation, reconciliation, and quality checks to ensure analytics products accurately reflect source data and business rules
• Troubleshoot complex reporting, semantic modeling, data quality, and performance issues
• Develop user documentation, data dictionaries, product documentation, and quick-reference guides for analytics products
• Support stakeholder demonstrations, user acceptance testing, training, and adoption activities
• Provide technical guidance and mentorship to Data Analysts and Associate Data Analysts
• Establish standards and reusable practices for enterprise reporting, semantic modeling, visualization, and analytics development

Qualifications

• Significant experience developing enterprise business intelligence, analytics, and reporting solutions
• Strong hands-on experience with Microsoft Power BI
• Experience working with Microsoft Fabric or comparable enterprise analytics platforms
• Advanced proficiency with DAX
• Strong experience with Power Query and data transformation
• Experience designing and maintaining enterprise semantic models
• Experience developing reusable and certified datasets for enterprise analytics
• Experience designing executive, operational, and compliance dashboards
• Experience assessing and rationalizing enterprise dashboard or reporting portfolios
• Experience translating business requirements into functional analytics specifications
• Experience conducting requirements gathering and stakeholder workshops
• Experience implementing row-level security and other analytics access-control mechanisms
• Understanding of data governance, data quality, metadata, and security principles
• Experience with dashboard performance optimization and analytical troubleshooting
• Experience supporting analytics product lifecycle management, modernization, or migration efforts
• Strong analytical, problem-solving, communication, and documentation skills
• Experience working with both technical and non-technical stakeholders
• Experience mentoring or providing technical leadership to other analysts
• Active Secret clearance

Preferred Qualifications

• Microsoft Certified: Power BI Data Analyst Associate
• Advanced experience with Microsoft Fabric semantic models
• Experience with Power BI deployment pipelines, workspaces, and enterprise governance
• Experience performing dashboard portfolio rationalization and consolidation
• Experience enabling governed self-service analytics
• Experience assessing Power BI licensing and capacity strategies
• Experience with Copilot-assisted analytics or other AI-enabled business intelligence capabilities
• Experience developing predictive models, forecasting tools, or advanced analytical frameworks
• Experience with statistical analysis, Python, R, or similar analytical tools
• Experience designing analytics products for large-scale enterprise environments
• Experience with federal, Department of Defense, or education-related analytics environments
• Familiarity with data lineage, metadata management, data cataloging, and enterprise data governance frameworks

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Top 3 Reasons To Join Us

• Competitive Salary
• 100% Remote
• Working on the latest tech for the Insurtech Market Leader

About Us

At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.

• We are a leading global no-code insurance platform for health, life, and P&C
• We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
• We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
• We’re an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
• We are fully funded and backed by reputable VC funds and strategic institutional investors
• We have a global presence in Asia, EMEA and the Americas
• We’ve grown our annualized revenue by over 30x since January 2021
• We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world

What You Will Do:

• Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
• Plan and design simple to semi-complex business processes and system modifications
• Make recommendations to improve and support business activities
• Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
• Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
• Develop business requirements documents/user stories to support the required modifications
• May plan, allocate and monitor work of other business analysts
• Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
• Assist in providing time estimates for project related tasks
• Aid in updating process and procedural documentation
• Develop basic understanding of technical development cycle of mobile application or web portals
• Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
• Any other task that may be assigned

What We Need:

• Minimum 5 years of experience as Business Analyst
• A degree in Business, IT or any relevant field
• Previous experience working in the insurance industry is required
• Health Insurance-related domain certification from INS/LOMA or III is an added advantage
• Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
• Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
• Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
• Experience in an Agile and/or Scrum environment is a must
• Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
• Excellent written and verbal communication skills in English
• Technical writing skills are a plus
• Must be based in Thailand
• Must be fluent in Thai

Why You’ll Love Working Here

• Fully Remote
• Flexible Leave
• International Environment
• Competitive renumeration package
• Performance Bonus
• Company activities and events
• Learning and development plan
• Remote work allowance

CoverGo Company Video

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Swoon is an original, design-led brand using an innovative NPD process to discover the next home trends. We run a lean team on a modern data stack - Snowflake, Airflow, Kleene, DBT and Sigma.

We’re looking for an analytics engineer to own that stack end-to-end: how pipelines get built and maintained, how AI is used within them, how analysis reaches the exec team, and how the wider business self-serves answers.

What we’re looking for:

This is a single-owner technical role. You will own the warehouse, the transformation layer, the orchestration and the analytics surface the business consumes, and you will shape how they evolve. No data team above you to escalate design decisions to. You will partner closely with the commercial, marketing, and operations leads to turn their questions into insight that is actually executable.

That autonomy is the point. You need to be highly self-motivated, comfortable making architecture calls on your own judgement, and willing to fix problems rather than route them.

Key Responsibilities

1. Own the data stack

• Warehouse & modelling: Own the ELT process end-to-end - modelling, testing, documentation, cost and performance management.
• Orchestration: Own orchestration and ensure pipelines are reliable, timely, and accurate.
• Source integration: Maintain and extend extraction and loading from any new source.
• Data quality: Build the tests and checks that mean decisions aren’t made on broken numbers.

2. Own the analytics stack

• BI layer strategy: Own the decision on how Swoon delivers analytics. Assess whether our current BI layer is the right long-term solution. You will be expected to recommend Swoon’s BI future with evidence and own the consequences.
• Self-service: Further improve our self-serve analytics for our non-technical colleagues across commercial, operations and marketing to get answers without routing every question through you.

3. Drive AI adoption

• AI in the data workflow: Use AI tooling to compress the cost of analysis, transformation development, documentation and QA. Review the current standard and where it can’t be trusted.

• AI enablement across the business: Work with function leads to identify where AI removes manual work - ops reconciliation, customer service triage, content generation, supplier admin - and build or specify the tooling. You are the technical enabler.

• Track record: Demonstrable experience building and running a production analytics stack. Strong SQL and Python skills, plus Snowflake and orchestration (Airflow or equivalent).

• AI fluency: Hands-on experience using AI tools in a real workflow.

• Self-direction: You set your own roadmap, prioritise against commercial impact, and deliver without supervision.

• Communication: You can explain a technical constraint to a non-technical stakeholder and push back on a bad request without damaging the relationship.

Compensation

• Competitive salary
• Share options programme
• Profit share scheme
• Wellbeing allowance
• Generous pension scheme
• Private medical cover for you and your family

Holidays, working environment and other perks

• 27 days holiday rising to 30 with tenure
• Four months of summer hours finishing at 1 PM on a Friday
• Free furniture on each anniversary of employment
• Friends & family discount of 20%
• Fully remote working
• Frequent meet-ups, in-person workshops and socials

Senior Data Analyst

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking a Senior Data Analyst to lead the design, development, modernization, and optimization of enterprise analytics and business intelligence solutions using Power BI and the Microsoft Fabric semantic layer.

The Senior Data Analyst will assess existing dashboards and reporting products, identify opportunities for consolidation and modernization, and develop scalable semantic models and analytics products that support executive, operational, and compliance use cases. This role will work closely with business stakeholders, data engineers, governance teams, and technical leadership to translate mission and business needs into effective analytics solutions.

The Senior Data Analyst will also support analytics strategy, product portfolio management, self-service analytics enablement, and advanced analytical capabilities including predictive modeling and forecasting.

Responsibilities

• Lead the design and development of enterprise analytics and business intelligence solutions using Power BI and Microsoft Fabric
• Design and maintain enterprise semantic models that provide governed, reusable data structures for analytics and reporting
• Develop certified Power BI datasets and reusable analytical components
• Build and optimize executive, operational, compliance, and mission-focused dashboards
• Ensure dashboards and analytics products meet established performance, usability, accessibility, and data quality standards
• Assess the existing dashboard and reporting portfolio, including:
  • Usage and adoption analysis
  • Redundancy identification
  • Technical debt evaluation
  • Performance assessment
  • Opportunities for consolidation or retirement
• Develop and execute dashboard consolidation, modernization, and migration plans
• Rationalize legacy reports and dashboards into standardized enterprise analytics products
• Develop complex DAX measures, calculations, and business logic
• Use Power Query and related transformation capabilities to prepare and shape data for analytical use
• Implement row-level security and object-level security aligned with enterprise data governance and access-control requirements
• Collaborate with governance and security teams to ensure analytics products appropriately enforce data access policies
• Assess and recommend self-service analytics capabilities, operating models, and governance approaches
• Evaluate Power BI licensing, capacity, and deployment strategies based on user needs and enterprise requirements
• Enable governed self-service analytics for business users while maintaining appropriate security and data quality controls
• Evaluate and support Copilot-assisted and AI-enabled analytics capabilities where appropriate
• Develop predictive models, forecasting tools, analytical frameworks, and decision-support capabilities
• Create advanced analytical methods that can be operationalized and maintained by analysts and business teams
• Support analytics strategy, roadmap development, and product portfolio management
• Identify opportunities to consolidate, standardize, improve, or retire analytics products
• Conduct requirements gathering sessions with business, operational, and technical stakeholders
• Analyze business processes and reporting needs to identify appropriate analytical solutions
• Translate business requirements into functional specifications, analytical requirements, user stories, and acceptance criteria
• Coordinate across analytics, data engineering, governance, application, and source-system workstreams
• Perform data analysis, validation, reconciliation, and quality checks to ensure analytics products accurately reflect source data and business rules
• Troubleshoot complex reporting, semantic modeling, data quality, and performance issues
• Develop user documentation, data dictionaries, product documentation, and quick-reference guides for analytics products
• Support stakeholder demonstrations, user acceptance testing, training, and adoption activities
• Provide technical guidance and mentorship to Data Analysts and Associate Data Analysts
• Establish standards and reusable practices for enterprise reporting, semantic modeling, visualization, and analytics development

Qualifications

• Significant experience developing enterprise business intelligence, analytics, and reporting solutions
• Strong hands-on experience with Microsoft Power BI
• Experience working with Microsoft Fabric or comparable enterprise analytics platforms
• Advanced proficiency with DAX
• Strong experience with Power Query and data transformation
• Experience designing and maintaining enterprise semantic models
• Experience developing reusable and certified datasets for enterprise analytics
• Experience designing executive, operational, and compliance dashboards
• Experience assessing and rationalizing enterprise dashboard or reporting portfolios
• Experience translating business requirements into functional analytics specifications
• Experience conducting requirements gathering and stakeholder workshops
• Experience implementing row-level security and other analytics access-control mechanisms
• Understanding of data governance, data quality, metadata, and security principles
• Experience with dashboard performance optimization and analytical troubleshooting
• Experience supporting analytics product lifecycle management, modernization, or migration efforts
• Strong analytical, problem-solving, communication, and documentation skills
• Experience working with both technical and non-technical stakeholders
• Experience mentoring or providing technical leadership to other analysts
• Active Secret clearance

Preferred Qualifications

• Microsoft Certified: Power BI Data Analyst Associate
• Advanced experience with Microsoft Fabric semantic models
• Experience with Power BI deployment pipelines, workspaces, and enterprise governance
• Experience performing dashboard portfolio rationalization and consolidation
• Experience enabling governed self-service analytics
• Experience assessing Power BI licensing and capacity strategies
• Experience with Copilot-assisted analytics or other AI-enabled business intelligence capabilities
• Experience developing predictive models, forecasting tools, or advanced analytical frameworks
• Experience with statistical analysis, Python, R, or similar analytical tools
• Experience designing analytics products for large-scale enterprise environments
• Experience with federal, Department of Defense, or education-related analytics environments
• Familiarity with data lineage, metadata management, data cataloging, and enterprise data governance frameworks

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.